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Binding MOAD (Mother of All Databases)

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TLDR
This work has searched the crystallography papers for all 5000+ structures and compiled binding data for 1375 of the protein–ligand complexes, which is the largest collection of binding data reported to date in the literature.
Abstract
Binding MOAD (Mother of All Data- bases) is the largest collection of high-quality, protein- ligand complexes available from the Protein Data Bank. At this time, Binding MOAD contains 5331 protein-ligand complexes comprised of 1780 unique protein families and 2630 unique ligands. We have searched the crystallography papers for all 5000 structures and compiled binding data for 1375 (26%) of the protein-ligand complexes. The binding-affinity data ranges 13 orders of magnitude. This is the largest collection of binding data reported to date in the literature. We have also addressed the issue of redun- dancy in the data. To create a nonredundant dataset, one protein from each of the 1780 protein families was chosen as a representative. Representatives were cho- sen by tightest binding, best resolution, etc. For the 1780 "best" complexes that comprise the nonredun- dant version of Binding MOAD, 475 (27%) have bind- ing data. This significant collection of protein-ligand complexes will be very useful in elucidating the bio- physical patterns of molecular recognition and enzy- matic regulation. The complexes with binding-affinity data will help in the development of improved scoring functions and structure-based drug discovery tech- niques. The dataset can be accessed at http://www. BindingMOAD.org. Proteins 2005;60:333-340.

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Journal ArticleDOI

BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities

TL;DR: BindingDB is a publicly accessible database currently containing ∼20 000 experimentally determined binding affinities of protein–ligand complexes, for 110 protein targets including isoforms and mutational variants, and ∼11‬000 small molecule ligands.
Journal ArticleDOI

The PDBbind database: methodologies and updates.

TL;DR: The PDBbind database is developed to provide a comprehensive collection of binding affinities for the protein-ligand complexes in the Protein Data Bank, and a total of 900 complexes were selected to form a "refined set", which is of particular value as a standard data set for docking and scoring studies.
Journal ArticleDOI

Prediction of protein-ligand interactions. Docking and scoring: successes and gaps.

TL;DR: The area of calculating molecular interactions, specifically docking, the positioning of a ligand in a protein binding site, and scoring, the quality assessment of docked ligands is called attention.
Journal ArticleDOI

Lessons Learned in Empirical Scoring with smina from the CSAR 2011 Benchmarking Exercise

TL;DR: A general methodology for designing an empirical scoring function and smina, a version of AutoDock Vina specially optimized to support high-throughput scoring and user-specified custom scoring functions are described.
Journal ArticleDOI

Virtual screening strategies in drug discovery: a critical review.

TL;DR: This review provides a comprehensive appraisal of several VS approaches currently available and special emphasis will be given to in silico chemogenomics approaches which utilize annotated ligand-target as well as protein-ligand interaction databases and which could predict or reveal promiscuous binding and polypharmacology.
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